#jupyter_notebook#a2a#agentic_ai#dapr#dapr_pub_sub#dapr_service_invocation#dapr_sidecar#dapr_workflow#docker#kafka#kubernetes#langmem#mcp#openai#openai_agents_sdk#openai_api#postgresql_database#rabbitmq#rancher_desktop#redis#serverless_containers
The Dapr Agentic Cloud Ascent (DACA) design pattern helps you build powerful, scalable AI systems that can handle millions of AI agents working together without crashing. It uses Dapr technology with Kubernetes to efficiently manage many AI agents as lightweight virtual actors, ensuring fast response, reliability, and easy scaling. You can start small using free or low-cost cloud tools and grow to planet-scale systems. The OpenAI Agents SDK is recommended for beginners because it is simple, flexible, and gives you good control to develop AI agents quickly. This approach saves costs, avoids vendor lock-in, and supports resilient, event-driven AI workflows, making it ideal for developers aiming to create advanced, cloud-native AI applications[1][2][3][4].
https://github.com/panaversity/learn-agentic-ai
#Elezioni#Slovenia
Secondo l'exit poll di Mediana, il partito del Primo Ministro Janez #Janša#SDS|EPP registra il suo secondo peggior risultato degli ultimi 18 anni (il peggiore rimane quindi quello del 2014, quando SDS prese il 20,7% dei voti).
@UltimoraPolitics
🇸🇮 Elezioni #Slovenia — Il partito del premier liberale uscente Robert #Golob (#GS) vince di misura contro quello dell’ex premier di destra Janez #Janša (#SDS). Golob potrebbe ora formare una nuova maggioranza di centro-sinistra o di centro, oppure ricorrere a elezioni anticipate.
@UltimoraPolitics24